Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Johansson
1
58 kgGuarnier
2
54 kgSmall
4
55 kgBronzini
5
54 kgLongo Borghini
6
59 kgSolovey
7
56 kgLichtenberg
9
52 kgVekemans
10
52 kgStevens
11
55 kgPawlowska
13
60 kgPitel
14
52 kgBrzeźna
16
56 kgVieceli
18
59 kgCanuel
20
51 kgDoebel-Hickok
22
51 kgRooijakkers
23
58 kgRiabchenko
25
57 kgRowe
29
65 kgAllen
31
55 kg
1
58 kgGuarnier
2
54 kgSmall
4
55 kgBronzini
5
54 kgLongo Borghini
6
59 kgSolovey
7
56 kgLichtenberg
9
52 kgVekemans
10
52 kgStevens
11
55 kgPawlowska
13
60 kgPitel
14
52 kgBrzeźna
16
56 kgVieceli
18
59 kgCanuel
20
51 kgDoebel-Hickok
22
51 kgRooijakkers
23
58 kgRiabchenko
25
57 kgRowe
29
65 kgAllen
31
55 kg
Weight (KG) →
Result →
65
51
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSSON Emma | 58 |
| 2 | GUARNIER Megan | 54 |
| 4 | SMALL Carmen | 55 |
| 5 | BRONZINI Giorgia | 54 |
| 6 | LONGO BORGHINI Elisa | 59 |
| 7 | SOLOVEY Hanna | 56 |
| 9 | LICHTENBERG Claudia | 52 |
| 10 | VEKEMANS Anisha | 52 |
| 11 | STEVENS Evelyn | 55 |
| 13 | PAWLOWSKA Katarzyna | 60 |
| 14 | PITEL Edwige | 52 |
| 16 | BRZEŹNA Paulina | 56 |
| 18 | VIECELI Lara | 59 |
| 20 | CANUEL Karol-Ann | 51 |
| 22 | DOEBEL-HICKOK Krista | 51 |
| 23 | ROOIJAKKERS Pauliena | 58 |
| 25 | RIABCHENKO Tetyana | 57 |
| 29 | ROWE Danielle | 65 |
| 31 | ALLEN Jessica | 55 |